Data Scientist | Automotive

Job Description:

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 60,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet. At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
In this role you will play a key role in:

- Building, testing and deploying machine learning and statistical models to solve complex automotive challenges such as predictive maintenance, quality control and autonomous driving systems

- Collecting, processing and analysing large volumes of automotive data from various sources including vehicle sensors, telematics and production systems

- Working closely with engineering and business teams to understand requirements and translate them into data-driven solutions that create real value

- Contributing to the development and improvement of data pipelines and workflows, ensuring data quality, reliability and scalability across projects

- Presenting analytical findings and model results in a clear and meaningful way to both technical and non-technical stakeholders, supporting informed decision-making

Candidate Requirements:

- You have 1-2 years of experience as a Data Scientist or in a similar analytical role, ideally with exposure to the automotive or manufacturing sector - You are proficient in Python or R for data analysis and machine learning, and have working knowledge of libraries such as Scikit-learn, TensorFlow or PyTorch - You have a solid understanding of statistical modelling, data wrangling and machine learning techniques, with the ability to apply them to real-world problems - You are a collaborative team player with strong analytical and problem-solving skills, able to work in a fast-paced, multidisciplinary environment - You hold a Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering or a related field